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  2. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    In March 2024, Databricks released DBRX, an open-source foundation model. It has a mixture-of-experts architecture and is built on the MegaBlocks open-source project. [52] DBRX cost $10 million to create. At the time of launch, it was the fastest open-source LLM, based on commonly-used industry benchmarks.

  3. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    Star schema used by example query. Consider a database of sales, perhaps from a store chain, classified by date, store and product. The image of the schema to the right is a star schema version of the sample schema provided in the snowflake schema article.

  4. Data warehouse - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse

    Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...

  5. Amazon Redshift - Wikipedia

    en.wikipedia.org/wiki/Amazon_Redshift

    Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. [1] It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), [2] to handle large scale data sets and database migrations.

  6. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a warehouse. Dbt has the goal of allowing analysts to work more like software engineers, in line with the dbt viewpoint.

  7. Data lake - Wikipedia

    en.wikipedia.org/wiki/Data_lake

    For example, the definition of data warehouse is also changeable, and not all data warehouse efforts have been successful. In response to various critiques, McKinsey noted [ 13 ] that the data lake should be viewed as a service model for delivering business value within the enterprise, not a technology outcome.

  8. Confluent (CFLT) Q4 2024 Earnings Call Transcript - AOL

    www.aol.com/confluent-cflt-q4-2024-earnings...

    A leading European grocery delivery service has also built its data architecture on Confluent's data streaming platform and leverages our Apache Flink offering to optimize real-time order management.

  9. Data mart - Wikipedia

    en.wikipedia.org/wiki/Data_mart

    Data Warehouse and Data Mart overview, with Data Marts shown in the top right.. A data mart is a structure/access pattern specific to data warehouse environments. The data mart is a subset of the data warehouse that focuses on a specific business line, department, subject area, or team. [1]